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experimentalists and adapt code for real-world data. Preferred Knowledge, Skills, and Abilities: Familiarity with compressed sensing and/or convex optimization (e.g., total variation minimization). Expertise in
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, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Sigmar Pauli: larss.heinke@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Biologie, Chemie, Pharmazie
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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committed to diversity and inclusion as core values. We actively promote gender equality and foster an open, inclusive work environment. Zürcherstrasse 111, CH-8903 Birmensdorf Website Company-Video Where
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adapt code for real-world data. Preferred Knowledge, Skills, and Abilities: Familiarity with compressed sensing and/or convex optimization (e.g., total variation minimization). Expertise in Python
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
. Responsibilities for this position includes:* Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your expertise in statistics and machine learning
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Salary range: 9 772,00 PLN (gross) Place of work: IPG PAS, Poznań, Poland Start date: 28.08.2025 Deadline for applications: 31.10.2025 Project: “Long non-coding RNAs as multifaceted players regulating
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video and get a glimpse of QuTech. Conditions of employment Duration of contract is 1 year, extendable to 3. A job of 36-40 hours per week. Salary and benefits are in accordance with the Collective
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rounds of interviews. The first interviews will be scheduled in the week of 20-24 October, 2025, per video call. The successful candidate would ideally be able to start working for Tilburg University
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of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work. Conditions of employment Duration of contract